Completed Artifact

docs/README.md

@@ -16,12 +16,16 @@ This project aims to predict stock prices using sentiment analysis data combined
 - yfinance
 - textblob
 - requests
+- csv
+- newsapi
+- dotenv
 
 ## Usage
-1. Clone the repository: `git clone https://github.com/your_username/stock-price-prediction.git`
+1. Clone the repository: `git clone https://github.com/ReadyResearchers-2023-24/JackTurner-Artifact`
 2. Install the required dependencies: `pip install -r requirements.txt`
-3. Navigate to the `src` folder `cd src`
-4. Execute the `run_all_scripts.py` file: `python3 run_all_scripts.py`
-5. Results will be displayed in the command line and stored in the `data` folder under the name: `gpt_prediction.csv`
-
+3. Run the provided Python script: `python3 run_all.py`
+4. Results will be displayed in the command line and stored in the `data` folder under the name: `gpt_prediction.csv`
 
+## Additional Notes
+- Modify the prompt in `gpt.py` to determine the desired output format.
+- Sometimes, the data size may exceed the capacity of the ChatGPT API. In such cases, consider removing one or two CSV files from the `data` folder to allow processing a smaller batch at a time, ensuring more consistent results.

requirements.txt

@@ -1,5 +1,8 @@
-pandas==1.3.3
-scikit-learn==0.24.2
-openai==0.10.5
-yfinance==0.1.64
-textblob==0.15.3
+pandas==1.5.0
+scikit-learn==1.4.0
+openai==0.27.1
+yfinance==0.1.91
+textblob==0.17.3
+requests==2.30.1
+newsapi==1.0.0
+python-dotenv==0.20.0

src/run_all.py

@@ -0,0 +1,21 @@
+import subprocess
+
+def run_script(script_path):
+    subprocess.run(["python", script_path])
+
+if __name__ == "__main__":
+    # Run fetch_historical_data.py and multiple_ticker_sent.py
+    run_script("src/fetch_historical_data.py")
+    run_script("src/multiple_ticker_sent.py")
+
+    # Run avg.py located in the data folder
+    run_script("data/avg.py")
+
+    # Run combined_data.py
+    run_script("data/combined_data.py")
+
+    # Run seperate_tickers.py
+    run_script("data/seperate_tickers.py")
+
+    # Run gpt.py
+    run_script("src/gpt.py")